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Quantitative Analytics Developer
2 months ago
Selby Jennings is working with an elite hedge fund with $17+ billion in AUM. They deploy systematic, computer-driven trading strategies across multiple liquid asset classes. The core of their effort is rigorous research into a wide range of market anomalies, driven by their passion to understand the world around them and fueled by unparalleled access to a wide range of publicly available data sources.
ABOUT THE TEAM
They built out a new team focused on trading medium-frequency statistical arbitrage strategies with high Sharpe. The team operates like a start-up with an open and collaborative culture using cutting-edge technologies to facilitate innovative research. They are actively expanding to new markets and assets classes. The team is led by a few industry experts from top tier trading and tech firms, including D.E. Shaw, Citadel, Two Sigma, Facebook AI Lab, etc.
ROLE
Looking to hire exceptional engineering talent who's responsibility would be a hybrid role of quantitative research analyst and software developer. The candidate should have a passion in technology to provide optimal solution to research and trading. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team's successful expansion. The candidate will also collaborate with researchers to innovate research tools which will take our research and trading capability to the next level.
RESPONSIBILITIES
- Develop, maintain, and improve the production trading system. Conduct research to further enhance team's monetization.
- Build technologies that bolster research & trading productivity.
- Expand the system to new markets and asset classes.
- Master/PhD degree in Computer Science AND a minor/concentration in Mathematics, Statistics or Physics from a top 25 University.
- 1-3 years of professional experience in software development or quantitative research.
- Strong combination of quantitative skills and programming skills.
- Proficiency in Python 3 and either C++ or Java.
- Familiarity with the Linux environment
- Strong preference for candidates with GPA: 3.5 or higher
